• Journal of the Korea Institute of Information and Communication Engineering
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• v.3 no.3
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• pp.485-499
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• 1999

Auctions are appealing market-type mechanisms because they can be deployed to solve the twin problems of resources pricing and allocation. Nonetheless the effectiveness of an auction mechanism in radio spectrum property rights should not be taken for granted. Policymakers need to be aware of the complexity of introducing market discipline in an area where none existed before. Auction design is critical to the success of the allocation process. However, a poorly designed auction mechanism can have detrimental effects on the spectrum rights allocation process. This study discusses some of the key elements and issues of auction design of radio spectrum rights for its efficient allocation. Particularly this study discusses, based on the existing auction theory and other countries' experiences, such issues as bidding rule, value interdependency and sequence of auction, information structure and asymmetric bidder, and wealth constraints and imperfect capital market.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.827-828
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• 2009

매년 국내 많은 기업 및 공공기관에서 정보시스템 관련 프로젝트를 수행하고 그 결과는 성공이라고 발표되고 있으나, 2009년 Standish 보고서에서 성공 32%, 도전 44%, 실패 24%이라고 발표되었다.[1] 프로젝트를 수행하는 업체나 발주 업체는 그 성패에 따라서 기업의 운명이 달라진다. 본 연구에서는 실제 공급자(개발업체)가 수행한 프로젝트 사례(A사 282건)를 Standish CHAOS 보고서에 명시된 성패 기준으로 하여 조사 및 통계 분석한 결과는 Standish 보고서에 비교해서 실패 11%( A사 실패 35%) 높게 나왔다. 그 이유는 프로젝트에 대한 관리 프로세스 미정착되어 있으며, PM의 역량에 의해서 좌우 되어진다. 따라서 실패율을 낮추기 위한 지속적인 프로젝트 관리 프로세스가 필요하다. 본 연구의 목적은 국내 IT환경에 개발업체에서 수행한 프로젝트 성공과 실패에 관한 연구로서 (1)기존 문헌을 통하여 프로젝트의 성패에 대한 기준을 정립하고, (2)이를 Standish와 비교하고, (3) 프로젝트 계획 및 관리 프로세스의 중요성을 인식하여 성공을 높이는데 기여하고자 한다.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.48 no.6
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• pp.43-50
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• 2011

Currently, conventional security methods including IC card or password type method are quickly switched into biometric security systems in various applications and the electrocardiogram (ECG) has been considered as one of novel biometrics way. However, conventional ECG based biometrics used lead II signal which conventionally used for formulaic signal to heart disease diagnosis and it is not suitable for biometrics since it is rather difficult to find consistent features for heart disease patents. To overcome this problem, we developed new biometrics system using ECG lead III signals. For wave extraction, signal peak points are extracted through AAV algorithm. For feature selection, extracted waves are categorized into one of four wave types and total twenty two features including number of vertices, wave shapes, amplitude information and interval information are extracted based on their wave types. Experimental results for thirty-six people showed 100% specificity, 95.59% sensitivity and 99.17% of overall identification accuracy.

• Journal of The Korean Association For Science Education
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• v.41 no.3
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• pp.193-202
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• 2021

This study aims to identify what kind of epistemological resources were activated in unproductive and productive practice by students participating in scientific argumentation, and to explore which contexts result in changes in argumentative practice. We collected transcriptions of participants' argumentative lessons and interview, participants' work sheets, and researchers' field notes. The analysis revealed that the focus group activated different kinds of epistemological resources depending on their practice; propagated, belief, and accumulation in unproductive practice and constructed, understanding, accumulation, formation and rebuttal in productive practice. We found two contextual cues that led to these changes; unfamiliar form of argumentative task was provided and emotional, epistemic, and conceptual support of the epistemic authority. This work can be provided as additional case studies to analyze changes in practice according to learner context-dependent epistemology, and we expect to contribute to discussions of productive epistemology and stabilization for students' authentic science engagement.

• The KIPS Transactions:PartB
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• v.11B no.4
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• pp.449-456
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• 2004

This paper proposes a novel recognition model, a recurrent fuzzy associative memory(RFAM), for recognizing time-series patterns contained an ambiguity. RFAM is basically extended from FAM(Fuzzy Associative memory) by adding a recurrent layer which can be used to deal with sequential input patterns and to characterize their temporal relations. RFAM provides a Hebbian-style learning method which establishes the degree of association between input and output. The error back-propagation algorithm is also adopted to train the weights of the recurrent layer of RFAM. To evaluate the performance of the proposed model, we applied it to a word boundary detection problem of speech signal.

• Journal of Advanced Navigation Technology
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• v.15 no.5
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• pp.839-844
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• 2011

Various technologies such as infrared light, ultrasonic waves, RFID, GPS, UWB, and signal indicators have been incorporated in the location tracking system. However, such pre-existing systems require location recognition in shadow areas. This study proposes a location tracking system that utilizes Cooperative Spectrum Sensing. Cooperative Spectrum Sensing is not only able to track the location and path of moving objects but also recognize when objects breakaway from the path set by sensors and guide them back. In addition, it has the advantage of being more efficient in terms of frequency usage. It is able to automatically fix power transmission and frequency modulation for transmission cognitive users to an optimum level within the range that does not cause interference for primary users.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.86-89
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• 2016

실내 위치 인식 기술은 Wi-Fi, Bluetooth Low Energy 등 여러 기술을 통해 시도되어 왔으며, 실내 위치 인식 시스템의 상용화가 급증하는 추세이다. 대표적인 실내 측위 시스템인 Wi-Fi 기반 실내 측위는 고출력으로 넓은 범위에 서비스를 제공해주지만, 각 AP 마다 파워 출력이 다르기 때문에 위치 인식 측면에서의 오차가 발생하고, Bluetooth Low Energy 기반 실내 측위는 10m Cell 내에서는 정확한 인식이 가능하지반, 10m 거리 밖 오차는 매우 크다. UWB(Ultra Wide Band)[1][2][3]는 저전력으로, 3.1~10.6GHz의 대역올 이용하여, Wi-Fi의 10배 이상의 속도로 데이터를 전달한다. 이때, 데이터 전달에 사용되는 전파신호는 레이더 신호와 유사한 특징을 가져 거리측정에 사용될 수 있으며, 실내 측위 시 15cm 이내의 정확도를 가진다. 본 논문에서는 UWB의 광대역을 이용한 핑거프린팅과 정밀 측위를 위한 TDoA 기법을 이용한 정밀 실내 측위 알고리즘을 제안한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.648-650
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• 2015

In this research, we investigate an influence of a reader antenna location in Passive UHF RFID system based Object localization. When the localization system uses stationary RFID reader system, the performances of the system are significantly varied depending on the deployed antenna conditions due to its external environment such as reflection by the ground and obstacles. In this research we deeply study the RF conditions and differentiation with various antenna location. According to the empirical results, the localization system shows the best performance, where the reader antenna locates 1.5m from the target area of interest.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.11
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• pp.2032-2038
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• 2006

The recognition of human gestures in image sequences is an important and challenging problem that enables a host of human-computer interaction applications. This paper describes a gesture recognition algorithm based on the particle filters, namely CONDENSATION. The particle filter is more efficient than any other tracking algorithm because the tracking mechanism follows Bayesian estimation rule of conditional probability propagation. We used two models for the evaluation of particle Inter and apply the MATLAB for the preprocessing of the image sequence. But we implement the particle filter using the C++ to get the high speed processing. In the experimental results, it is demonstrated that the proposed algorithm prove to be robust in the cluttered environment.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.3
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• pp.584-591
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• 2007

The recognition of human gestures in image sequences is an important and challenging problem that enables a host of human-computer interaction applications. This paper describes a gesture recognition algorithm based on the particle filters, namely CONDENSATION. The particle filter is more efficient than any other tracking algorithm because the tracking mechanism follows Bayesian estimation rule of conditional probability propagation. We used two models for the evaluation of particle filter and apply the MAILAB for the preprocessing of the image sequence. But we implement the particle filter using the C++ to get the high speed processing. In the experimental results, it is demonstrated that the proposed algorithm prove to be robust in the cluttered environment.